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1,988 results for “proliferation”
Data_Figure 1_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of figure 1 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1007_s00018-019-03227-w_CMLS_Fig1). Corresponding raw data obtained from a) cellomics HTC array scan analysis provided as seven files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_1_1-7), b) raw data obtained from proliferation investigation on xCELLigence provided as one (31003A-179400_date_examiner_17BHSD12_9_1_1) file in CSV format. All further experiment related information and subsequent data analysis provided as two meta-data-files as TXT format (31003A-179400_date_examiner_17BHSD12_8/9_1_M_1).</p>
Data_supplemental figure 10_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 10 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S10). Corresponding raw data obtained from a/b) western blot and densitometry provided as 20 files in CSV format (31003A-179400_date_examiner_17BHSD12_2_27-30_1-5), c) mRNA content analyzed by RT-PCR provided as 10 files in CSV format (31003A-179400_date_examiner_17BHSD12_1_11-12_1-6). d) RT-PCR provided as 10 files in CSV format (31003A-179400_date_examiner_17BHSD12_1_13_1-4). All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_1/2_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.</p>
Data_supplemental figure 9_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 9 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S9). Corresponding raw data obtained from a) western blot and densitometry provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_2_23_1-5); b) Cellomics HTC array scan analysis provided as eight files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_19-20_1-5); c) western blot and densitometry provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_2_26_1-3), d) mRNA content analyzed by RT-PCR provided as 10 files in CSV format (31003A-179400_date_examiner_17BHSD12_1_9-10_1-6), e) western blot and densitometry provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_2_25_1-3), f) western blot and densitometry provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_2_24_1-3) All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_1/2/8_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.</p>
Data_supplemental figure 8_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 8 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S8). Corresponding raw data obtained from a) cellomics HTC array scan analysis provided as five files in CSV format (31003A-179400_Date_examiner_17BHSD12_8_18_1-5); b) western blot and densitometry provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_2_22_1-4), investigation of migration on xCELLigence provided as four (31003A-179400_date_examiner_17BHSD12_9_5_1) files in CSV format. All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_2/8/9_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.</p>
Data_supplemental figure 5_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 5 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S5). Corresponding raw data from immunofluorescence measurements provided as three files (31003A-179400_20190528_MT, PST, ADU_17BHSD12_13_2_1-3) in png format. All further experiment related information protocols and subsequent data analysis provided as meta-data-file (31003A-179400_date_examiner_17BHSD12_13_2_M_1) as TXT format.</p>
Data_supplemental figure 1_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 1 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S1). (31003A-179400_date_examiner_17BHSD12_2_14-17) PNG format. All further experiment related information protocols as meta-data-files (31003A-179400_date_examiner_17BHSD12_2_dataset_M_1) as TXT format.</p>
Data_Figure 8_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of figure 8 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. 8). Corresponding raw data obtained from a1/2) Western blot and densitometry provided as three files in CSV format (31003A-179400_date_examiner_17BHSD12_2_9_1-3), mRNA content analyzed by RT-PCR provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_1_7_1-4); b) Western blot and densitometry provided as three files in CSV format (31003A-179400_date_examiner_17BHSD12_2_10-11_1-3); c1/2) mRNA content analyzed by RT-PCR provided as four files in CSV format (31003A-179400_date_examiner_17BHSD12_1_8_1-4), d1/2) Western blot and densitometry provided as seven files in CSV format (31003A-179400_date_examiner_17BHSD12_2_12-13_1-4). All further experiment related information protocols and subsequent data analysis provided as meta-data-files (31003A-179400_date_examiner_17BHSD12_2/1_dataset_M_1) as TXT format and (31003A-179400_date_examiner_17BHSD12_2_dataset_M_2-3) as PNG format.</p>
Data_supplemental figure 4_Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration
<p>Data of supplemental figure 4 from Impact of 17β‑HSD12, the 3‑ketoacyl‑CoA reductase of long‑chain fatty acid synthesis, on breast cancer cell proliferation and migration</p> <p>Dataset (doi: 10.1007/s00018-019-03227-w) contains the original figure as TIF-format (10.1194_jlr.M092908_Fig. S4). Corresponding raw data from immunofluorescence measurements provided as three files (31003A-179400_date_examiner_17BHSD12_13_1_1-3) in png format. All further experiment related information protocols and subsequent data analysis provided as meta-data-file (31003A-179400_date_examiner_17BHSD12_13_1_M_1) as TXT format.</p>
Data from: Using multiple traits to assess the potential of introduced and native vines to proliferate in a tropical region
Predicting the invasive potential of introduced species remains an ongoing challenge due to the multiple interacting regional and global processes that facilitate the introduction and proliferation of alien species. This may be particularly true in regions where native species are increasingly reported as expanding and impacting ecosystems in ways indistinguishable from alien ones. Current approaches to assess the invasive potential of plants may be limited by the choice of traits used and the exclusion of native species. To overcome these limitations, we develop a novel approach that focuses on all species—native and alien—within a functional group of plants to predict their proliferation status. Our approach relied on the development of an extensive database of extrinsic and intrinsic traits for Puerto Rican vines with the goal of generating a predictive model of vine proliferation status. We test three hypotheses linking origin, extrinsic and intrinsic traits, and proliferation status. We found that the origin of proliferating vines was associated with only one out of seven traits, namely plant use. We also found that proliferation status was associated with all but two traits, namely life span and climbing mechanism. Finally, a classification tree analysis identified five variables as good predictors of proliferation status and used them to split the species into six groups characterized by a unique suite of traits, three of them included proliferating species. The development of tools to identify potential proliferating species is critical for management and conservation purposes. Tools that can minimize biases and make predictions based on trait data easily obtainable are particularly needed in regions with a high taxonomic and functional diversity, and with limited ecological knowledge of individual species. In addition, these tools should be capable of incorporating native species since an increasing number of native species are behaving like invasive aliens.
Species‐specific root proliferation of tree seedlings in tropical litter: do nutrients matter?
<p>Litter decomposition mobilizes nutrients that sustain ecosystem productivity, but decomposition by-products may also hamper root proliferation by phytotoxicity. The aim of this study was to assess the litter substrate preferences of tropical tree seedlings in relation to litter chemical traits. We characterized 44 litter types (11 species at 4 decomposition ages; 0, 30, 90 and 180 days) for nutrients (N, P, K, Mg, Mn, Na, Fe and Zn) and proximate chemical parameters (cellulose, extractive, lignin and C) and tested the effect of such litter materials on seedling root growth of Albizia procera, Dalbergia sissoo and Terminalia arjuna. A. procera root growth was inhibited by all litter types and ages, including conspecific materials, while different heterospecific litters had inhibitory or stimulatory effect on D. sissoo and T. arjuna root growth, compared to the control. Interestingly, inhibitory and stimulatory effects of heterospecific litters significantly changed with litter age, although with no clear-cut pattern among target species and litter species and age, while conspecific litters consistently inhibited root growth when aged, but not when fresh. Litter nutrient, extractive, C, cellulose and lignin showed no consistent association with root growth of tested plants. A. procera root growth was positively associated with Na content and N:P ratio. D. sissoo root growth was positively associated to C:N and lignin:N ratios, and negatively to K, Na and Zn content. Finally, T. arjuna root was positively associated to cellulose and N:P ratio, but negatively to extractive. We conclude that studied nutrient, cellulose and lignin do not consistently explain the species-specific response of root of tree seedlings to decomposing litter.</p>
Data from: Horizontal gene acquisitions, mobile element proliferation, and genome decay in the host - restricted plant pathogen Erwinia tracheiphila
Modern industrial agriculture depends on high density cultivation of genetically similar crop plants, creating favorable conditions for the emergence of novel pathogens with increased fitness in managed compared to ecologically intact settings. Here, we present the genome sequence of six strains of the cucurbit bacterial wilt pathogen Erwinia tracheiphila (Enterobacteriaceae) isolated from infected squash plants in New York, Pennsylvania, Kentucky, and Michigan. These genomes exhibit a high proportion of recent horizontal gene acquisitions, invasion and remarkable amplification of mobile genetic elements, and pseudogenization of ~20% of the coding sequences. These genome attributes indicate that E. tracheiphila recently emerged as a host-restricted pathogen. Furthermore, chromosomal rearrangements associated with phage and transposable element proliferation contributes to substantial differences in gene content and genetic architecture between the six E. tracheiphila strains and other Erwinia species. Together, these data lead us to hypothesize that E. tracheiphila has undergone recent evolution via both genome decay (pseudogenization) and genome expansion (horizontal gene transfer and mobile element amplification). Despite evidence of dramatic genomic changes, the six strains are genetically monomorphic, suggesting a recent population bottleneck and emergence into E. tracheiphila's current ecological niche.
Data from: Genome-wide patterns of transposon proliferation in an evolutionary young hybrid fish
Hybridization can induce transposons to jump into new genomic positions, which may result in their accumulation across the genome. Alternatively, transposon copy numbers may increase through non-allelic (ectopic) homologous recombination in highly repetitive regions of the genome. The relative contribution of transposition bursts versus recombination-based mechanisms to evolutionary processes remains unclear because studies on transposon dynamics in natural systems are rare. We assessed the genome-wide distribution of transposon insertions in a young hybrid lineage ("invasive Cottus", n=11) and its parental species Cottus rhenanus (n=17) and Cottus perifretum (n=9) using a reference genome assembled from long single molecule PacBio reads. An inventory of transposable elements was reconstructed from the same data and annotated. Transposon copy numbers in the hybrid lineage increased in 120 (15.9%) out of 757 transposons studied here. The copy number increased on average by 69% (range: 10 – 197 %). Given the age of the hybrid lineage, this suggests that they have proliferated within a few hundred generations since admixture began. However, frequency spectra of transposon insertions revealed no increase of novel and rare insertions across assembled parts of the genome. This implies that transposons were added to repetitive regions of the genome that remain difficult to assemble. Future studies will need to evaluate whether recombination-based mechanisms rather than genome-wide transposition may explain the majority of the recent transposon proliferation in the hybrid lineage. Irrespectively of the underlying mechanism, the observed over-abundance in repetitive parts of the genome suggests that gene-rich regions are unlikely to be directly affected.
Supplementary PyMOL sessions for "Small protein blockers of human IL-6 receptor alpha inhibit proliferation and migration of cancer cells"
<p>PyMOL sessions with summary of NEF variants docking to IL-6R. Supplementary to "Small protein blockers of human IL-6 receptor alpha inhibit proliferation and migration of cancer cells".</p>
Data Analysis for: Coupling Cell Size Regulation and Proliferation Dynamics for C. glutamicum Reveals Cell Division Based on Surface Area
<div>Data and methods of Data Analysis of: Coupling Cell Size Regulation and Proliferation Dynamics of</div> <div>C. glutamicum Reveals Cell Division Based on Surface Area</div> <div> </div> <div>Authors: Cesar Nieto and Zahra Vahdat at University of Delaware (2023)</div> <div>Correspondence: cnieto@udel.edu.</div> <div> </div> <div> </div>
Data for Mechanically-driven Stem Cell Separation in Tissues caused by Proliferating Daughter Cells
<p>Contains animations, data, and source code used for the paper "Mechanically-driven Stem Cell Separation in Tissues caused by Proliferating Daughter Cells" by the same authors. </p> <p><br>This repository contains all the data and analysis scripts to support the manuscript<br>The file structure is as follows:<br>- "analysis" contains all the analysis scripts<br>- "gfx" and "animations" the figures and supporting animations<br>- "1-SCpair", "2-SCtissue", "3-BDsimulation", "4-tissue-stochdiv", "6-inertia-effects" all the source code and data for the respective models.</p>
F I G U R E 4 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 4 Double Immunofluorescence of brdu plus ki67 in the retina of Misgurnus anguillicaudatus (): (a), (b) brdu labelled cells at 7 months and (c), (d) ki67 labelled cells at 7 months; (e), (f) brdu labelled cells at 1 year and (g), (h) ki67 labelled cells at 1 year. The pigment epithelium showed positive reaction at both ages as well as a few positively reacted cells at the ganglion cell layer at the age of 7 months only. PE, Pigment epithelium layer; g, ganglion cell layer; vl, photoreceptor layer. The total number of fish used was n = 10
F I G U R E 3 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 3 Double immunofluorescence of brdu plus ki67 in the retina of Misgurnus anguillicaudatus at age of 3 months (). The pigment epithelium layer and the ganglion cell layer showed some proliferative cells. PE, Pigment epithelium layer; vl, photoreceptor layer; IN, inner nuclear layer; ip, inner plexiform layer; ON, outer nuclear layer; OP, outer plexiform layer; g, ganglion cell layer. The total number of fish used was n = 5
F I G U R E 5 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 5 Immunofluorescence for glial fibrillary acidic protein (GFAP) at the age of 1 month in the eye of Misgurnus anguillicaudatus: (a) glial cells in the periphery of lens (), (b) ganglion cell layer (), (c) inner and outer plexiform layers, photoreceptor layer and pigment epithelium layer (). Immunofluorescence for proliferating cell nuclear antigen (PCNA) in (d) glial cells in the periphery of lens (), (e) ganglion cell layer (), (f) inner and outer plexiform layers, photoreceptor layer and pigment epithelium layer (). L, Lens; PE, pigment epithelium layer; g, ganglion cell layer. The total number of fish used was n = 5
F I G U R E 2 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 2 The localisation in the retina of Misgurnus anguillicaudatus of (a), (d), (g), (j) bmi1, (b), (e), (h), (k) msi1 and (c), (f), (i), (l) sox2 genes () by using fluorescent in situ hybridisation: (a), (b), (c) 1 month old; (d), (e), (f) age of 7 months; (g), (h), (i) age of 1 year. The visual layer and some few pigment epithelial cells of retina, as well as the lens were the obvious sites for genes expressions. (j), (k), (l) Negative control sense probe. L, Lens; g, ganglion cell layer; vl, visual layer or photoreceptor layer; PE, pigment epithelium. The total number of fish used was n = 15
F I G U R E 1 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 1 General histological observations of the eye of Misgurnus anguillicaudatus, showing (a) the lens (L) and retina (R) at age 1 month stained with haematoxylin and eosin (H&E); (b) the seven layers of retina at age 1 month stained with H&E (1, ganglion cell layer; 2, inner plexiform layer; 3, inner nuclear layer; 4, outer plexiform layer; 5, outer nuclear layer; 6, photoreceptor layer or visual laye; 7, pigment epithelium); (c) retina at age 1 month stained with Holzer's crystal violet stain (, glial cells); (d) at age 1 year stained with Holzer's crystal violet stain
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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